megalphian Goto Github PK

followers: 33.0 following: 60.0 repos: 49.0 gists: 0.0

Name: Megnath Ramesh

Type: User

Company: University of Waterloo

Bio: Robotics PhD Student @ UWaterloo Improving decision making for robot coverage

Twitter: megnathr

Location: Waterloo, ON

Blog: megnath.com

👋 Hi, I’m Megnath Ramesh (@megalphian)! I'm a graduate researcher in robotics and my goal is to make intelligent robots that react to changes in wary environments.

👀 I’m interested in path planning algorithms, computational geometry, and machine learning (Neural networks and RL).

🌱 I’m currently learning coverage planning algorithms, more specifically generating plans that enable fast coverage of uncertain environments.

💞️ I’m looking to collaborate on projects that aim to build robots for the future of food.

📫 You can reach me at [email protected]

Megnath Ramesh's Projects

acme

A library of reinforcement learning components and agents

aws-jpl-osr-challenge

Official repo of the AWS-JPL Open Source Rover challenge

capstone-vision

Object detection software for BLINC Handi Hand

clear_the_counter

Camera to detect free food in an office kitchen counter

every-programmer-should-know

A collection of (mostly) technical things every software developer should know

f1tenth_ws

A repository for autonomous racing written in ROS2, designed for the F1TENTH platform. Code can run both in the physical car, as well as simulation with custom launch files.

firebasertc

Codelab for building a WebRTC Video chat application using Firebase Cloudstore.

geneticalgorithmsproject

A genetic algorithm approach to train a population of reactively controlled robots to operate in a cluttered dynamic environment

glns.jl

An Effective Large Neighborhood Search Heuristic for the Generalized Traveling Salesman Problem

imu-pen

A motion-capture pen device to seamlessly control computer windows

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.